DOJ’s New “FOCUS” on Data-Mined FCA Filings

On April 30, 2026, the U.S. Department of Justice (DOJ) announced the “Fraud Oversight through Careful Use of Statistics” initiative. While the government’s reliance on data analytics to identify potential fraud is hardly new, its increasingly explicit encouragement of whistleblowers and data-driven relators is. By openly inviting insiders and analytics firms to mine claims data for potential False Claims Act (FCA) cases, DOJ is effectively expanding the pipeline of qui tam litigation and signaling that statistically driven enforcement actions are likely to increase. This administration has courted whistleblowers, and it’s working: to date, 780 qui tam complaints have been filed since October 1, 2025.

This “FOCUS” initiative operates within DOJ’s department-wide push to combat federal program fraud, including through the recently launched National Fraud Enforcement Division (NFED). Indeed, the FOCUS initiative is intended to support the NFED’s work by strengthening DOJ’s relationship with an increasingly important type of FCA whistleblower: data miners.

Data-Mining Whistleblowers

Traditionally, FCA qui tam actions have been driven by insiders — employees, contractors, or others with firsthand knowledge of an organization’s alleged misconduct. By contrast, data miners analyze publicly available data from the outside, in an attempt to identify statistical anomalies or patterns indicative of fraud.

DOJ’s own data demonstrates the surge in data-driven FCA cases, noting that over the last two years, data miners initiated 45% of all qui tam complaints. The increase in data mining comes alongside the artificial intelligence (AI) revolution. DOJ recognizes that data miners have — and will continue to — leverage leading AI platforms “to isolate and discover signals of fraud from large public datasets.” On one hand, machine learning models make data mining more efficient. AI tools can unearth correlations and patterns from sweeping datasets in a fraction of the time as traditional investigative methods. But the same tools introduce risk. AI analysis can generate false positives, miss key factual or regulatory context, and extrapolate from incomplete or imperfect statistical sets. And the data miners overseeing this analysis, unlike traditional FCA relators, typically lack insider knowledge to explain why a particular data pattern reflects fraud rather than benign variation. As a result, translating data into allegations that satisfy the FCA’s requirements — falsity, scienter, and pleading fraud with particularity as required by the Federal Rules of Civil Procedure (FRCP) — is often unreliable.

DOJ’s FOCUS Initiative

DOJ’s new FOCUS initiative focuses on mitigating these risks and encouraging reliable data-driven FCA filings. While recognizing the potential value of data mining, DOJ made clear that it will prioritize working with those who can demonstrate analytical rigor and legal sufficiency. As Civil Division Deputy Assistant Attorney General Brenna E. Jenny explained, participants in the FOCUS initiative “should be prepared to explain what differentiates their [analytic] approach, how they validate their findings, and why their methodology provides a reliable basis for identifying high-quality, actionable [FCA] matters.”

Consistent with that message, DOJ’s announcement highlights several factors it will consider in evaluating data-driven qui tam filings. Strong submissions are expected to: (1) identify data signals that reliably correlate with fraudulent conduct; (2) demonstrate a working understanding of the relevant statutory and regulatory framework; (3) account for alternative, non-fraudulent explanations for data variations; and (4) satisfy FRCP Rule 9(b)’s requirement to plead fraud with particularity. DOJ has also encouraged data miners to invest in pre-filing diligence — including partnering with subject-matter experts — and has invited data miners to meet with the Civil Fraud Section to present their methodologies and analytical capabilities. If these quality controls are implemented, Civil Division Assistant Attorney General Brett A. Shumate notes that data miners may be DOJ’s “strongest and most effective partners in the war against fraud.”

At the same time, the contours of the FOCUS initiative remain somewhat undefined. DOJ has not specified how participation in the initiative — or pre-filing engagement with the department — will impact intervention decisions, investigative priorities, or ultimate recoveries. Nor has it articulated clear benchmarks for what constitutes sufficiently “reliable” or “high-quality” analytics. As a result, the FOCUS initiative appears less as a formalized program and more as a signaling mechanism: DOJ is encouraging continued growth in data-mined FCA cases, but only those that meet an evolving and increasingly rigorous standard of reliability. And this encouragement ends with a call to action, inviting “Data miner relators interested in meeting” to reach out to DOJ directly.

Looking Forward

The FOCUS initiative confirms that DOJ continues to embrace data-driven FCA enforcement. For companies, that shift signals three likely implications. First, publicly reported data will increasingly trigger scrutiny. DOJ’s emphasis on analytics suggests that statistical outliers in public datasets may prompt investigations even without insider complaints. Second, DOJ’s theory of liability will likely be shaped by data. By prioritizing rigor and reliability, the department appears focused on advancing fewer, but stronger, data-mined cases. Third, AI-driven allegations may reshape early litigation efforts. Complaints grounded in statistical inference may be more common, but DOJ’s own emphasis on alternative explanations and Rule 9(b) particularity provides defendants with a framework to challenge weak claims.

In short, as FCA enforcement becomes more data-centric, companies should expect increased scrutiny of their data and be prepared to explain what the numbers show before the government or a relator does it for them. Proactive monitoring, auditing, and trend analysis are becoming essential compliance functions, both to identify potential issues early and to develop legitimate explanations for anomalous patterns before they become the basis for a qui tam complaint or government investigation.

We will continue to monitor FCA enforcement and implications of the FOCUS initiative. For questions, please contact the authors or any member of Arnold & Porter’s False Claims Act Investigations & Defense practice group.

© Arnold & Porter Kaye Scholer LLP 2026 All Rights Reserved. This Blog post is intended to be a general summary of the law and does not constitute legal advice. You should consult with counsel to determine applicable legal requirements in a specific fact situation.